Infrastructure Enhancements for CAV Navigation [supporting dataset]

Al-Qadi, Imad L.; Okte, Egemen; Roesler, Jeffery R.; Meidani, Hadi; Ouyang, Yanfeng; Dahal, Sachindra; Kazemi, Amirkhosro; Ramakrishnan, Aravind; She, Ruifeng; Ozer, Hasan

doi:10.4231/2EEQ-3R20

i

Infrastructure Enhancements for CAV Navigation [supporting dataset]

Dataset Supporting Files

2022-01-04
By Al-Qadi, Imad L. ; Okte, Egemen ; Roesler, Jeffery R.

File Language:

English

Details

Alternative Title:

Multifront Approach for Improving Navigation of Autonomous and Connected Trucks
Creators:

Al-Qadi, Imad L. ; Okte, Egemen ; Roesler, Jeffery R. ; Meidani, Hadi ; Ouyang, Yanfeng ; Dahal, Sachindra ; Kazemi, Amirkhosro ; Ramakrishnan, Aravind ; She, Ruifeng ; Ozer, Hasan
Corporate Creators:

University of Illinois at Urbana-Champaign. Department of Civil and Environmental Engineering ; Illinois Center for Transportation
Corporate Contributors:

Center for Connected and Automated Transportation (CCAT) ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
Subject/TRT Terms:
Publication/ Report Number:

ICT-20-008, UILU-ENG-2020-2008
DOI:

https://doi.org/10.4231/2EEQ-3R20
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
Abstract:

This report presents a review of the main sensors used in connected and autonomous vehicles (CAVs). Radar, ultrasonic sensors, a global positioning system, radio-frequency identification, lidar, cameras, inertial measurement units, and capacitive–proximity sensors were detailed, listing their working principles, advantages, and disadvantages. Based on the review, potential measures to address their drawbacks and enhance control and guidance of CAV were proposed. The measures mainly consist of modification of electromagnetic, optical, and thermal properties of infrastructure materials in order for vehicles to communicate with the infrastructure.
Format:

ZIP
Funding:

69A3551747105
Download URL:

https://rosap.ntl.bts.gov/view/dot/61994/dot_61994_DS1.pdf
File Type:

[PDF - 193.84 KB]
Collection(s):

Autonomous Vehicles ; University Transportation Centers
Main Document Checksum:

urn:sha-512:ad4ccfb26595183c2a700b8ba483bb2d90f1fac64b37ff2af0b4518beb2d84d4f8ef30c33a28595f6afb61fe5d96822e0812240eef9c3b42a3c3b59c4aa4b4c6

Metadata File

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Infrastructure Enhancements for CAV Navigation

This report presents a review of the main sensors used in connected and autonomous vehicles (CAVs). Radar, ultrasonic sensors, a global positioning sy ...

Dahal, Sachindra ;

Hernandez, Jaime

File Language:

English

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